Pujun Gao
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Epidemiology 27
- Liver Disease Diagnosis and Treatment 24
- Hepatitis B Virus Studies 7
- Co-authors
- Xu Li (12 shared papers)Lili Ding (4 shared papers)Hongqin Xu (9 shared papers)Jiawen Han (3 shared papers)Dong Wang (1 shared paper)Junqi Niu (8 shared papers)Qingfei Xiao (2 shared papers)Liming Yang (1 shared paper)
- Journals
- Medicine (7 papers)BioMed Research International (6 papers)Scientific Reports (3 papers)Frontiers in Medicine (3 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pujun Gao
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Hepatology 169
- Biological Psychiatry 45
- Epidemiology 276
- Immunology 120
- Cancer Research 82
Countries citing papers authored by Pujun Gao
This map shows the geographic impact of Pujun Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pujun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pujun Gao more than expected).
Fields of papers citing papers by Pujun Gao
This network shows the impact of papers produced by Pujun Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pujun Gao. The network helps show where Pujun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Pujun Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 127 | |
| 2 | 2012 | 71 | |
| 3 | 2017 | 61 | |
| 4 | 2023 | 55 | |
| 5 | 2017 | 53 | |
| 6 | 2019 | 43 | |
| 7 | 2017 | 43 | |
| 8 | 2021 | 37 | |
| 9 | 2015 | 34 | |
| 10 | 2019 | 30 | |
| 11 | 2018 | 30 | |
| 12 | 2018 | 26 | |
| 13 | 2017 | 24 | |
| 14 | 2022 | 24 | |
| 15 | 2017 | 23 | |
| 16 | 2019 | 22 | |
| 17 | 2010 | 20 | |
| 18 | 2021 | 19 | |
| 19 | 2017 | 19 | |
| 20 | 2020 | 18 |
About Pujun Gao
Pujun Gao is a scholar working on Epidemiology, Molecular Biology, Hepatology, Surgery and Immunology, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (24 papers), Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (7 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers), Gallbladder and Bile Duct Disorders (5 papers), Pancreatitis Pathology and Treatment (4 papers), Liver Diseases and Immunity (4 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Hepatology (169 citations), Biological Psychiatry (45 citations), Epidemiology (276 citations), Immunology (120 citations) and Cancer Research (82 citations). Pujun Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xu Li, Lili Ding, Hongqin Xu, Jiawen Han, Dong Wang, Junqi Niu, Qingfei Xiao, Liming Yang, Xin Lu and Peiyuan Yin. Their work appears in journals such as Medicine, BioMed Research International, Scientific Reports, Frontiers in Medicine and International Immunopharmacology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.